| TestOrgNumber | EIN | Name | State | MajorGroup | NTEE.CC | TotalExpense | CEOCompensation |
|---|---|---|---|---|---|---|---|
| 1 | 237392118 | THE LEARNING CENTER AT PIPER’S HILL | CT | 2 | B20 | 2221843 | 92539.91 |
| 2 | 350868101 | HUNTINGTON UNIVERSITY | IN | 11 | B43 | 42079670 | 408004.44 |
| 3 | 208969896 | BROWN COUNTY ORAL HEALTH PARTNERSHIP | WI | 4 | E99 | 3744664 | 116212.53 |
| 4 | 160743979 | NICHOLAS H NOYES MEMORIAL HOSPITAL | NY | 12 | E22 | 59517721 | 223204.75 |
| 5 | 260317963 | REDLINE | CO | 1 | A40 | 1752816 | 118630.15 |
| 6 | 943019570 | THE PROTEIN SOCIETY | CA | 7 | U03 | 1200932 | 173402.65 |
| 7 | 205935069 | QUIT DOC RESEARCH AND EDUCATION | FL | 2 | B05 | 1661923 | 89324.41 |
Weight Set 1
| level | geo | r.mission | s.mission |
|---|---|---|---|
| 1 | 1 | 1 | 1 |
| 2 | 1 | 1 | 1 |
| 3 | 1 | 1 | 1 |
| 4 | 1 | 1 | |
| 5 | 1 |
Weight Set 2
| level | geo | r.mission | s.mission |
|---|---|---|---|
| 1 | 2 | 3 | 3.0 |
| 2 | 2 | 2 | 2.0 |
| 3 | 1 | 1 | 1.0 |
| 4 | 1 | 1.0 | |
| 5 | 0.5 |
Weight Set 3
| level | geo | r.mission | s.mission |
|---|---|---|---|
| 1 | 5 | 5 | 5.0 |
| 2 | 2 | 2 | 2.0 |
| 3 | 1 | 1 | 1.0 |
| 4 | 1 | 1.0 | |
| 5 | 0.5 |
X facet (columns) is weight set number, Y facet (rows) is test org number.
directories <- paste0(current.dir)
plots <- list.files(directories, pattern="*.jpg")
plots <- paste0( directories, "/", plots)
index <- 1
if(length(plots > 0)){
p <-paste0('<table border="1">')
# #create an html table with float left/right, whatever....
for(i in seq(1,length(plots),nrow(weights))){
p <- paste0(p, '<tr>')
for(j in 1:nrow(weights) ){
p <- paste0(p, '<td height="450"><img src="',plots[i+j-1],'" height="400" width="400"/></td>')
}
p <- paste0(p, '</tr>')
}
p <- paste0(p, '</table>')
}
cat(p)
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Test Set 1
[1]
“Correlations for Test Org 1”
| First Weight Set | Second Weight Set | corr(Distance) | cor(Rank) |
|---|---|---|---|
| 1 | 2 | 0.95316 | 0.98204 |
| 1 | 3 | 0.87942 | 0.95203 |
| 2 | 3 | 0.97260 | 0.98925 |
Test Set 2
[1]
“Correlations for Test Org 2”
| First Weight Set | Second Weight Set | corr(Distance) | cor(Rank) |
|---|---|---|---|
| 1 | 2 | 0.97899 | 0.97575 |
| 1 | 3 | 0.93634 | 0.92749 |
| 2 | 3 | 0.97118 | 0.98406 |
Test Set 3
[1]
“Correlations for Test Org 3”
| First Weight Set | Second Weight Set | corr(Distance) | cor(Rank) |
|---|---|---|---|
| 1 | 2 | 0.96377 | 0.98445 |
| 1 | 3 | 0.89123 | 0.96007 |
| 2 | 3 | 0.96994 | 0.98847 |
Test Set 4
[1]
“Correlations for Test Org 4”
| First Weight Set | Second Weight Set | corr(Distance) | cor(Rank) |
|---|---|---|---|
| 1 | 2 | 0.95099 | 0.98254 |
| 1 | 3 | 0.85997 | 0.94553 |
| 2 | 3 | 0.96556 | 0.98613 |
Test Set 5
[1]
“Correlations for Test Org 5”
| First Weight Set | Second Weight Set | corr(Distance) | cor(Rank) |
|---|---|---|---|
| 1 | 2 | 0.96109 | 0.98614 |
| 1 | 3 | 0.88084 | 0.95965 |
| 2 | 3 | 0.96729 | 0.99055 |
Test Set 6
[1]
“Correlations for Test Org 6”
| First Weight Set | Second Weight Set | corr(Distance) | cor(Rank) |
|---|---|---|---|
| 1 | 2 | 0.96166 | 0.98932 |
| 1 | 3 | 0.89126 | 0.97245 |
| 2 | 3 | 0.97174 | 0.99434 |
Test Set 7
[1]
“Correlations for Test Org 7”
| First Weight Set | Second Weight Set | corr(Distance) | cor(Rank) |
|---|---|---|---|
| 1 | 2 | 0.95031 | 0.97570 |
| 1 | 3 | 0.87377 | 0.92252 |
| 2 | 3 | 0.96077 | 0.98211 |